When you learn at Mindmajix, you can always rely on team of experts to provide guidance and support, whenever you need it.
Instructor-Guided Lessons and Activities
Learn key objectives through expert-led lectures, discussions, and exercises.
Hands-on practice on Tools
Practice new skills and dive deeper into the day’s key topics
After Each Session
Q & A Session.
Wrap up the session with clarification on concepts and labs, if needed.
End to End Sample Project/Use-Case Explanation
In this module, you will understand what is R language, business analytics with R, Installing R and much more…
Understand Business Analytics and R
Knowledge on the R language
Community and ecosystem
Understand the use of ‘R’ in the industry
Compare R with other software in analytics
Install R and the packages useful for the course
Perform basic operations in R using command line
Learn the use of IDE R Studio and Various GUI
Use the ‘R help’ feature in R
Knowledge about the worldwide R community collaboration.
R language is widely used among statisticians and data miners for developing statistical software and data analysis.
The various kinds of data types in R and its appropriate uses
The built-in functions in R like: seq(), cbind (), rbind(), merge()
Knowledge on the various Sub-setting methods in R
Summarize data by using functions like: str(), class(), length(), nrow(), ncol() in R
Use of functions like head(), tail() for inspecting data
Indulge in a class activity to summarize data in R
One of the most important aspects of computing with data is the ability to manipulate it, to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose.
The various steps involved in R for Data Cleaning
Functions used in R for Data Inspection
Tackling the problems faced during Data Cleaning
Uses of the functions like grep(), sub()
Coerce the data in R
Uses of the apply() functions.
This module describes how to enter or import data into R, and how to prepare it for use in statistical analyses.
Import data from spreadsheets and text files into R
Import data from other statistical formats like sas7bdat and spss into R
Package installation used for database import
Connect to RDBMS from R using ODBC and basic SQL queries in R
Basics of Web Scraping in R
Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set.
Understanding the Exploratory Data Analysis (EDA)
Implementation of EDA on various datasets in R
Understanding the cor() in R
EDA functions like summarize()
Multiple packages in R for data analysis
The Fancy plots like Segment plot and HC plot in R.
One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code.
Understanding on Data Visualization
Graphical functions present in R
Plot various graphs in R like table plot, histogram, box plot
Customizing Graphical Parameters to improvise the plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis in R
This module will concentrate on k means clustering techniques.
Introduction to Data Mining in R
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms in R
Understand Association Rule Mining in R and sentiment analysis.
Association Rule Mining in R
We’ll demonstrate linear regression and logistic regression in this module
Linear Regression in R
Logistic Regression in R
In this module, learn about Anova and predictive analysis techniques in R
This module will enlighten you over the decision trees in R, classification Rules, concepts of random forest and much more..
Decision Trees in R
Algorithm for creating Decision Trees
Greedy Approach: Entropy and Information Gain
Creating a Perfect Decision Tree in R
R Classification Rules for Decision Trees
Concepts of Random Forest in R
Working of Random Forest in R
Features of Random Forest in R
This module discusses the concepts taught throughout the course and their implementation in a Project..
Analyse Census Data
To predict insights on the income of the people based on the factors like : Age, education, work-class, occupation, etc.
Have any queries regarding course curriculum, speak to our course advisorConnect with Advisor
Upon successful completion of the program, you will be awarded a Certificate from Mindmajix for Business Analytics with R Training.
Successfully complete your course and let the community know about your achievement.
Get your Course Completion certificate from Mindmajix.
Don’t just show off your achievement to the community, use it to advance in your career.
Work on real time Business Analytics with R projects - The primary goal of this project work is to to gear up the skill set required and amplify individual competencies, experience, exposure which align with the current job market to addresses real world business challenges.
Have questions? We’ve got the answers. Get the details on how you can grow in this course.
We offer two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
Yes, we will discuss with our instructor and will schedule according to the time convenient to you.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
We will take care of providing you with all that is required to get placed in a reputed MNC and also forward your resume to the companies we tie-up with. Starting from providing the in-depth course material to explanation of the real-time scenarios and preparing your resumes, we will make you gain expertise so that you can get a job.
We assist you completely in acquiring certification. We ensure you will get certified easily after our training.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
Our trainer explains every topic along with real-time scenarios. In the last one or two sessions, the trainer will explain one end-to-end project to showcase the real time working environment.
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